Top Data & Analytics Jobs

The Senior Quantitative Analyst will define project objectives, manage projects, conduct data engineering, code, and ensure production compliance, while collaborating with stakeholders.

Develop and implement software solutions for automated trading systems, utilizing advanced statistical techniques to solve financial challenges.

As a Quantitative Research Engineer Intern, you will develop and implement automated trading software while collaborating with the Quantitative Research team to solve complex financial challenges.

As a Quantitative Research Engineer, design, develop, and implement software for automated trading systems using advanced statistical techniques. Collaborate with researchers and prioritize business needs.

Gusto seeks a Taxonomist/Ontologist to build AI-driven knowledge systems, develop taxonomies and ontologies, and enhance content delivery and personalization across teams and platforms.

Join the AI team as an ML Engineer to integrate AI technologies into Notion's product, enhancing model accuracy and deploying innovative solutions.

As a Senior Applied Scientist, you will develop and deploy large language models, collaborate on AI projects, and improve AI features for Datadog.

This co-op position involves supporting Supply Chain Analytics by developing data engineering solutions, business dashboards, and predictive models while gaining industry exposure and mentorship.

The role involves gaining experience in supply chain analytics, working on data engineering, business dashboards, and predictive models, while engaging in project work and mentorship.

This internship involves assisting with model development, impact analysis, and ongoing projects in quantitative risk management, complemented by technical and financial mathematics skills.

The role involves designing fraud strategies, analyzing data for root causes, and collaborating across teams to mitigate risks while balancing financial performance and customer experience.

The Sr. Business Intelligence Analyst will leverage advanced BI tools and AI to optimize labor planning and productivity, transform workforce data, and create dashboards for decision-making.

The Vice President will develop pricing models for equity derivatives, implement analytics, and contribute to innovative trading strategies using quantitative techniques.

As a PhD intern, you'll design, develop, and deploy software solutions for automated trading, collaborating with the Quantitative Research team.

As a Fraud Data Analyst, you'll analyze data to prevent device fraud, enhancing detection strategies through Python, SQL, and visualization tools, while collaborating with teams to develop fraud prevention rules.

Analyze and assess future technology for military applications, evaluate national security implications of disruptive technologies, and produce strategic assessments for decision-makers.

The All Source Analyst conducts analysis using multi-sourced intelligence to assess national security issues, supports Object-Based Intelligence production, and integrates data science techniques.

Analyze and assess emerging and disruptive technologies' implications on national security, produce intelligence assessments, and support object-based intelligence production. Collaborate with technologists to integrate advanced analytics into workflows.

The Risk Management - Model Risk Program Associate will conduct model validation, assess risks, communicate findings, and improve model development practices.

The Senior Manager, Product Analytics will lead a team to analyze product performance, drive data-driven strategies, and collaborate with cross-functional teams to enhance customer experience.

As a Data Owner Lead, you'll implement data strategies, manage projects, enhance data quality and governance, and collaborate across teams to support compliance and operational resilience.

As Quant Analytics VP, manage data analytics projects, collaborate with various teams, and drive insights to improve customer experience. Lead a team in strategic analysis and solution development, enhance analytics processes, and communicate findings to executives.

The Lead Architect is responsible for developing data architecture solutions, engaging stakeholders, and leading data architecture practices while applying advanced knowledge in data modeling and governance.

The Data Engineer is responsible for building and maintaining optimized data pipelines, developing data platforms, and supporting data science initiatives while collaborating with various departments.

The role involves developing quantitative models for investment portfolios, utilizing AI/ML technologies and managing end-to-end model processes, while collaborating across teams.